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`fit_quality()` returns group-level quality information for successful fits. `fit_failures()` returns failed group/model combinations as data.

Usage

fit_quality(x)

fit_failures(x)

Arguments

x

An object returned by [estimate_EC50()] or [ec50_multimodel()].

Value

A data frame.

Examples

data(multi_isolate)
fit <- estimate_EC50(
  growth ~ dose,
  data = subset(multi_isolate, isolate %in% 1:3 & fungicida == "Fungicide A"),
  isolate_col = "isolate",
  strata_col = "field",
  fct = drc::LL.3()
)
fit_quality(fit)
#>   ID        field model fit_status n_obs n_doses dose_min dose_max response_min
#> 1  1      Organic  LL.3         ok    35       7        0        1   0.07631550
#> 2  2 Conventional  LL.3         ok    35       7        0        1   1.24394259
#> 3  3      Organic  LL.3         ok    35       7        0        1   0.06118528
#>   response_max message
#> 1     20.66667    <NA>
#> 2     20.75420    <NA>
#> 3     20.78938    <NA>
fit_failures(fit)
#> [1] ID      field   model   message
#> <0 rows> (or 0-length row.names)